 AI product management lifecycle in four steps. Number one, conduct a voice-custom interview and create ideas. This is based on customer service and interview to understand specific pain points and create your product idea. Number two, create the data model and by doing research and working with AI engineers so that they're able to use the right AI model, collect the right data to create the right AI solution to solve a specific problem. Phase number three is develop the MVP. Once you have trained the AI model, it's more about how you turn it into a product from ideation to something customers can touch and get their feedback. Number four is go-to-market strategy. How are you able to increase adoption of AI product to general public or your specific customer segmentation? You also need to think about AI governments and ethical reasons when you package the entire product. Think about these issues as early as possible when developing the AI product.